Academics’ Weak(ening) Resistance to Generative AI: The Cause and Cost of Prestige?

Richard Watermeyer*, Donna Lanclos, Lawrie Phipps, Hanne Shapiro, Danielle Guizzo, Cathryn Knight

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

4 Citations (Scopus)

Abstract

The disruptive potential of generative AI (GenAI) tools to academic labour is potentially vast. Yet as we argue herein, such tools also represent a continuation of the inequities inherent to academia’s prestige economy and the intensified hierarchy and labour precarisation endemic to universities as prestige institutions. In a recent survey of n = 284 UK-based academics, reasons were put forward for avoiding GenAI tools. These responses surface concerns about automative technologies corrupting academic identity and inauthenticating scholarly practice; concerns that are salient to all who participate within and benefit from the work of scholarly communities. In discussion of these survey results, we explore ambivalence about whether GenAI tools expedite the acquisition or depletion of prestige demanded of academics, especially where GenAI tools are adopted to increase scholarly productivity. We also appraise whether, far from helping academics cope with a work climate of hyper-intensifcation, GenAI tools ultimately exacerbate their vulnerability, status-based peripheralisation, and self-estrangement.

Original languageEnglish
Article number100672
JournalPostdigital Science and Education
Early online date3 Dec 2024
DOIs
Publication statusE-pub ahead of print - 3 Dec 2024

Bibliographical note

Publisher Copyright:
© The Author(s) 2024.

Keywords

  • Academia
  • Generative Artificial Intelligence
  • Non-Choice
  • Postdigital
  • Precarity
  • Prestige

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